Machine Learning Engineer, ADAS

Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes “online” (on-car, latency/compute constrained) and “offline” (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.

Your day-to-day

You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo‑labelling) to accelerate model development.

What you’ll be working on:

You’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back‑propagate “known good” labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in‑car, or offline models that improve data quality and coverage at scale.

You should apply if:

You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi‑view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem‑solving, working under real product constraints, and you’re excited to improve real‑world driving performance through better perception.

Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

Locations & Flexible Working

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more